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Learning Python for Forensics

You're reading from   Learning Python for Forensics Leverage the power of Python in forensic investigations

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789341690
Length 476 pages
Edition 2nd Edition
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Authors (2):
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Preston Miller Preston Miller
Author Profile Icon Preston Miller
Preston Miller
Chapin Bryce Chapin Bryce
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Chapin Bryce
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Table of Contents (15) Chapters Close

Preface 1. Now for Something Completely Different FREE CHAPTER 2. Python Fundamentals 3. Parsing Text Files 4. Working with Serialized Data Structures 5. Databases in Python 6. Extracting Artifacts from Binary Files 7. Fuzzy Hashing 8. The Media Age 9. Uncovering Time 10. Rapidly Triaging Systems 11. Parsing Outlook PST Containers 12. Recovering Transient Database Records 13. Coming Full Circle 14. Other Books You May Enjoy

Our second iteration – bitcoin_address_lookup.v2.py

This iteration fixes one issue of our script by recording the details of execution. Really, we're using a log to create a chain of custody for the script. Our chain of custody will inform another party what our script did at various points in time and any errors encountered. Did we mention the traditional purpose of logging is for debugging? Nevertheless, our forensically commandeered log will be suitable in either scenario. This will serve as a brief tutorial on the basics of the logging module by using it in a real example. For more examples and references, please refer to the documentation at https://docs.python.org/3/library/logging.html.

We've added two modules to our imports: os and logging. If the user supplies the log file directory, we'll use the os module to append that directory and update the...

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